robcaulk 7523ed825e automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).		2022-05-31 18:42:27 +02:00
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prediction_models	throw user error if user tries to load models but feeds the wrong features (while using PCA)	2022-05-28 11:11:41 +02:00
data_drawer.py	Ensure follower predictions are persistent and uniquely stored	2022-05-31 14:35:04 +02:00
data_kitchen.py	automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).	2022-05-31 18:42:27 +02:00
freqai_interface.py	automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).	2022-05-31 18:42:27 +02:00
strategy_bridge.py	flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS	2022-05-15 17:38:58 +02:00